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Leif Sundberg; Jonny Holmström – Journal of Information Systems Education, 2024
With recent advances in artificial intelligence (AI), machine learning (ML) has been identified as particularly useful for organizations seeking to create value from data. However, as ML is commonly associated with technical professions, such as computer science and engineering, incorporating training in the use of ML into non-technical…
Descriptors: Artificial Intelligence, Conventional Instruction, Data Collection, Models
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Chinsook, Kittipong; Khajonmote, Withamon; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jantakoon, Thada – Higher Education Studies, 2022
Big data is an important part of innovation that has recently attracted a lot of interest from academics and practitioners alike. Given the importance of the education industry, there is a growing trend to investigate the role of big data in this field. Much research has been undertaken to date in order to better understand the use of big data in…
Descriptors: Student Behavior, Learning Analytics, Computer Software, Rating Scales
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
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Pomykalski, James J. – Information Systems Education Journal, 2015
In teaching business students about the application and implementation of technology, especially involving business intelligence, it is important to discover that project success in enterprise systems development efforts often depend on the non-technological problems or issues. The focus of this paper will be on the use of multiple case studies in…
Descriptors: Computer Software, Case Studies, Information Systems, Business Administration Education
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Davis, Gary Alan; Woratschek, Charles R. – Information Systems Education Journal, 2015
Business Intelligence (BI) and Business Analytics (BA) Software has been included in many Information Systems (IS) curricula. This study surveyed current and past undergraduate and graduate students to evaluate various BI/BA tools. Specifically, this study compared several software tools from two of the major software providers in the BI/BA field.…
Descriptors: Computer Software, Information Systems, Technology Uses in Education, Educational Technology
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Molluzzo, John C.; Lawler, James P. – Information Systems Education Journal, 2015
Big Data is becoming a critical component of the Information Systems curriculum. Educators are enhancing gradually the concentration curriculum for Big Data in schools of computer science and information systems. This paper proposes a creative curriculum design for Big Data Analytics for a program at a major metropolitan university. The design…
Descriptors: Curriculum Design, Data Analysis, Data Collection, Information Systems
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Raue, Kimberley; Lewis, Laurie – National Center for Education Statistics, 2011
Growing enrollments of students with disabilities in postsecondary education along with recent key legislation such as the Americans with Disabilities Act Amendments Act of 2008 and the 2008 Higher Education Opportunity Act, have generated considerable interest in research on accessibility of higher education for students with disabilities. This…
Descriptors: Higher Education, National Surveys, Institutional Characteristics, College Students
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Lillibridge, Fred – New Directions for Community Colleges, 2008
This chapter presents a sophisticated approach for tracking student cohorts from entry through departure within an institution. It describes how a researcher can create a student tracking model to perform longitudinal research on student cohorts. (Contains 3 tables and 2 figures.)
Descriptors: Academic Persistence, Longitudinal Studies, Models, Research Methodology
Hawkins, Brian L.; Rudy, Julia A. – EDUCAUSE, 2007
EDUCAUSE Core Data Service Fiscal Year 2006 Summary Report summarizes much of the data collected through the 2006 EDUCAUSE core data survey about campus information technology (IT) environments at 933 colleges and universities in the U.S. and abroad. The report presents aggregates of data through more than 100 tables and accompanying descriptive…
Descriptors: Higher Education, Information Systems, Information Technology, Classification
California State Postsecondary Education Commission, Sacramento. – 1986
A feasibility plan is presented for a California comprehensive student information study that would identify factors affecting students' progress through California's entire educational system. The feasibility plan identifies: (1) potential improvements, (2) the study design required to achieve them, (3) the cost of implementing the design,…
Descriptors: Articulation (Education), College Students, Data Collection, Databases
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Bess, James L. – Journal of Higher Education, 1979
Improving the quality of classroom, academic, and management decisions through more intelligent and systematic use of student data is addressed. Kinds of student-data users are classified, variables of student attitudes and behavior relevant to each user are identified, and relevant published instruments are listed. (Author/JMD)
Descriptors: College Administration, College Students, Data Collection, Decision Making
Ewell, Peter T. – 1984
Techniques for conducting student-attrition studies using the Student-Outcomes Information Service (SOIS) are outlined. General concepts to effectively guide an institutional research effort are discussed, with attention to better defining student attrition and a summary of results of recent research on the reasons why students withdraw from…
Descriptors: College Students, Data Collection, Dropout Research, Guidelines
Gray, Robert G.; And Others – 1979
The Student Outcomes Questionnaire and the Student Outcomes Information Analysis Service (SOIS) developed by NCHEMS and the College Board are discussed. The term, "student outcomes," is defined as the consequence of a student's enrollment in an educational institution and involvement in its programs. The importance of this type of…
Descriptors: College Students, Colleges, Community Colleges, Data Collection
Van Dyk, Jane M.; Kerstein, Dianne – 1982
The design and development of a computerized student flow model at Eastern Montana College and its use in monitoring student enrollment are considered. In addition, guidelines are presented for adapting a flow model to the dimensions of a particular institution. Particular emphasis is given to reviewing the criteria that researchers should use…
Descriptors: Academic Persistence, College Students, Computer Oriented Programs, Data Collection
Ewell, Peter T. – 1983
Guidelines for using questionnaires/findings provided through the Student-Outcomes Information Service (SOIS) are presented. SOIS provides institutional decision-makers with information on student characteristics, backgrounds, attitudes, reasons for making various educational choices, activities, educational plans, occupational choices, and…
Descriptors: Academic Aspiration, Career Choice, College Graduates, College Students